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A Functional Analysis Approach to Symbolic Regression
The superior performance of the proposed algorithm and insights into the limitations of GP open the way for further advancing GP for SR and related areas of explainable machine learning.
Challenges of ELA-guided Function Evolution using Genetic Programming
Within the optimization community, the question of how to generate new optimization problems has been gaining traction in recent years.
On the Verge of Solving Rocket League using Deep Reinforcement Learning and Sim-to-sim Transfer
Autonomously trained agents that are supposed to play video games reasonably well rely either on fast simulation speeds or heavy parallelization across thousands of machines running concurrently.
Towards Advanced Phenotypic Mutations in Cartesian Genetic Programming
Cartesian Genetic Programming is often used with a point mutation as the sole genetic operator.
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